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基于LoRa气雾立体栽培环境数据监测系统设计 被引量:7

Design of Vertical Aeroponic Farming Environment Data Monitoring System Based on LoRa
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摘要 针对大型温室首尾距离长、栽培监测数据量众多以及通讯布线复杂等问题,设计了基于长距离、低功耗、无线传输技术LoRa的大型温室环境监测系统。优化设计了LoRa终端节点,降低了节点功耗。在私有通讯协议和自组网方式的基础上,采用基于时分多址复用技术的无线通讯策略,在保证LoRa传输网络连通性和有效监测范围的前提下,降低了无线传输中信道的碰撞概率,提高了数据传输的可靠性和信道利用率。在距离网关600 m、周期为1 s的终端快速上传数据试验中,投递成功率提高了12%,采用7.2 V/3600 mAh的锂电池供电时,上传周期为10 min,终端节点的有效生存周期可达到2 a。试验验证了系统能够以低功耗监测温室环境参数,有效提高了网络生存周期和系统的可靠性。 In order to solve the problems of large greenhouse,such as long distance from end to end,large amount of monitoring data and complex communication wiring,a large greenhouse environmental monitoring system based on long-distance,low power consumption and wireless transmission technology LoRa is designed.The LoRa terminal nodes are optimized and the power consumption is reduced.On the basis of private communication protocol and AD hoc network,the wireless communication strategy based on time division multiple access technology is adopted to reduce the collision probability of the wireless transmission channel and improve the reliability and utilization rate of the data transmission channel on the premise of ensuring the connectivity and effective monitoring range of the LoRa transmission network.In the experiment of rapid data uploading from a terminal 600 m away from the gateway with a period of 1 s,the delivery success rate increased by 12%.When the 7.2 V/3600 mAh lithium battery is used to power,the upload period is 10 min,and the effective life cycle of the terminal node could reach 2 a.Experimental results show that the system can monitor greenhouse environmental parameters with low power consumption,which effectively improves the network life cycle and the reliability of the system.
作者 欧洋 马春燕 郝彦钊 OU Yang;MA Chunyan;HAO Yanzhao(College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan Shanxi 030024,China)
出处 《电子器件》 CAS 北大核心 2022年第1期244-250,共7页 Chinese Journal of Electron Devices
基金 山西省重点研发计划项目(201803D221028-2)。
关键词 气雾立体栽培 数据监测 无线传感网络 LoRa vertical aeroponic farming data monitoring wireless sensor network LoRa
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